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dc.contributor.authorHoward, C.Q.-
dc.identifier.citationProceedings of Acoustics Wollongong : Making Waves (2021), 2022, pp.1-8-
dc.description.abstractAn algorithm and network is described in this paper that implements a sliding Discrete Fourier Transform, such that it outputs an estimate of the DFT value for every input sample. Regular DFT algorithms calculate a complex value that is proportional to the amplitude and phase of an equivalent sine wave at the selected analysis frequency. The analysis frequency that can be selected is typically an integer multiple of the frequency increment of the DFT algorithm, and this might not necessarily correspond to the desired analysis frequency. The sliding DFT algorithm proposed here overcomes this limitation, and permits the analysis frequency to be any value up to half the sampling frequency. The proposed sliding DFT algorithm is demonstrated by analysing a synthetic sine wave, and the exhaust noise from a V8 diesel engine.-
dc.description.statementofresponsibilityCarl Q. Howard-
dc.publisherAustralian Acoustical Society-
dc.rightsAll rights reserved. Permission is granted for any person to reproduce a part of any abstract provided that the permission is obtained from the author(s) and credit is given to the author(s) and these conference proceedings. Acoustics 2021 Wollongong: Making Waves, 21-23 February 2022-
dc.titleApplication of Improved Sliding DFT Algorithm for Non-Integer k-
dc.typeConference paper-
dc.contributor.conferenceAustralian Acoustical Society: Acoustics (AAS) (21 Feb 2022 - 23 Feb 2022 : Wollongong, NSW, Australia)-
dc.publisher.placeToowong DC QLD, Australia-
dc.identifier.orcidHoward, C.Q. [0000-0002-7677-5318]-
Appears in Collections:Electrical and Electronic Engineering publications

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